added requirements

app.py

@@ -1,6 +1,9 @@
 import gradio as gr
 from fastai.learner import load_learner  # Assuming FastAI is used
 
+# NOTE: If you used any custom preprocessing steps or functions when training your model, 
+# make sure to include them here.
+
 # Load your pre-trained FastAI model (replace 'model.pkl' with your actual model path)
 model = load_learner('model.pkl')
 
@@ -11,4 +14,4 @@ def classify_image(image):
 
 # Update the Gradio interface
 iface = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(224, 224)), outputs='text')
-iface.launch()
+iface.launch()